TY - GEN
T1 - A DWC-Based Parallel Wi-Fi Simulation Method for Large-Scale UAV Networking
AU - Wang, Yiming
AU - Zhang, Yu
AU - Ren, Yi
AU - Yang, Qianyu
AU - Huang, Xinyi
AU - Yang, Li
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026
Y1 - 2026
N2 - Large-scale ndnSIM evaluation of UAV ad hoc networks with Wi-Fi access quickly saturates serial discrete-event simulation. Naive MPI spatial partitioning, however, silently breaks the cross-partition wireless coupling that drives CCA, MAC backoff, ACK feedback, and NDN timeout dynamics, producing systematically optimistic results. This paper proposes a Distributed Wireless Channel Proxy (DWC) that restores only the inter-rank interference semantics required by SpectrumWifiPhy. The transmitting rank exports a minimal sufficient metadata set; the receiving rank reconstructs an equivalent external interference process as a local SpectrumValue and injects it into InterferenceHelper without creating any remote packet, address, or ACK transaction. Partition-level clipping, windowed conservative synchronization, and lightweight boundary replay keep the control plane bounded and auditable through explicit runtime counters. Experiments on UAV sub-formations with up to 2000 nodes and 128 MPI ranks show that DWC preserves the application-level interest satisfaction ratio, retrieval delay, and timeout rate to within a 5% envelope of the serial reference, whereas naive parallelization drifts by 26% in delay and 9.4% in ISR at large scale. DWC delivers up to 15.2× wall-clock speedup and a 24%-32% reduction in per-rank peak memory relative to serial simulation.
AB - Large-scale ndnSIM evaluation of UAV ad hoc networks with Wi-Fi access quickly saturates serial discrete-event simulation. Naive MPI spatial partitioning, however, silently breaks the cross-partition wireless coupling that drives CCA, MAC backoff, ACK feedback, and NDN timeout dynamics, producing systematically optimistic results. This paper proposes a Distributed Wireless Channel Proxy (DWC) that restores only the inter-rank interference semantics required by SpectrumWifiPhy. The transmitting rank exports a minimal sufficient metadata set; the receiving rank reconstructs an equivalent external interference process as a local SpectrumValue and injects it into InterferenceHelper without creating any remote packet, address, or ACK transaction. Partition-level clipping, windowed conservative synchronization, and lightweight boundary replay keep the control plane bounded and auditable through explicit runtime counters. Experiments on UAV sub-formations with up to 2000 nodes and 128 MPI ranks show that DWC preserves the application-level interest satisfaction ratio, retrieval delay, and timeout rate to within a 5% envelope of the serial reference, whereas naive parallelization drifts by 26% in delay and 9.4% in ISR at large scale. DWC delivers up to 15.2× wall-clock speedup and a 24%-32% reduction in per-rank peak memory relative to serial simulation.
KW - MPI
KW - SpectrumWifiPhy
KW - ndnSIM
KW - parallel simulation
UR - https://www.scopus.com/pages/publications/105048884440
U2 - 10.1109/CCAI69603.2026.11641952
DO - 10.1109/CCAI69603.2026.11641952
M3 - Conference contribution
AN - SCOPUS:105048884440
T3 - 2026 6th International Conference on Computer Communication and Artificial Intelligence, CCAI 2026
SP - 717
EP - 724
BT - 2026 6th International Conference on Computer Communication and Artificial Intelligence, CCAI 2026
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Computer Communication and Artificial Intelligence, CCAI 2026
Y2 - 22 May 2026 through 24 May 2026
ER -